AI Scientist Intern developing and implementing models for healthcare solutions. Collaborating with AI teams to drive data - driven decision making.
About the role
- Senior AI Researcher leading research on multimodal perception models for AI Humans. Building models that generate audio, visual, and language responses in a conversational context.
Responsibilities
- Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language.
- Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames).
- Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars.
- Partner with the Applied ML team to bring research into real-world use cases.
- Mentor other researchers and drive excellence across the team.
Requirements
- A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems.
- Previous experience leading research efforts or mentoring teams.
- Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks.
- Experience with large-scale model training and optimization for performance and real-time generation.
- Proven ability to translate research ideas into production-grade systems.
- Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM).
- Strong PyTorch skills and comfort moving fluidly between research and engineering.
Benefits
- flexible work schedule
- unlimited PTO
- competitive healthcare
- gear stipends
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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